Material Information |
| Title: |
Bach to the Future Using a Genetic Algorithm to Create Chorales in the Style of J.S. Bach |
| Physical Description: |
Book |
| Language: |
English |
| Creator: |
Cerni, Andrew |
| Publisher: |
New College of Florida |
| Place of Publication: |
Sarasota, Fla. |
| Creation Date: |
2013 |
| Publication Date: |
2013 |
Subjects |
| Subjects / Keywords: |
Genetic Algorithm
J.S. Bach
Chorale |
| Genre: |
bibliography ( marcgt )
theses ( marcgt )
government publication (state, provincial, terriorial, dependent) ( marcgt )
born-digital ( sobekcm )
Electronic Thesis or Dissertation |
Notes |
| Abstract: |
One of the goals of natural computing is to develop and use techniques inspired by nature to solve complex problems using a computer. Genetic algorithms represent one such technique. Inspired by the processes of natural selection and evolution, a genetic algorithm seeks to generate solutions to an optimization problem via a process which involves the production of many generations of populations whose individuals represent potential or approximate solutions to the given problem. In this thesis, we employ a genetic algorithm approach to the problem of generating four-part chorales in the traditional Western style. We perform a number of computational experiments and produce successive generations of chorales, and demonstrate that the average and maximum fitness of the candidate pool increases. Additionally, we perform another experiment where the genetic algorithm attempts to reconstruct a chorale composed by J.S. Bach, using distorted versions of the original chorale as a seed population. |
| Statement of Responsibility: |
by Andrew Cerni |
| Thesis: |
Thesis (B.A.) -- New College of Florida, 2013 |
| Supplements: |
Accompanying materials: DVD Containing Code. |
| Electronic Access: |
RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE |
| Bibliography: |
Includes bibliographical references. |
| Source of Description: |
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. |
| Local: |
Faculty Sponsor: McDonald, Patrick |
Record Information |
| Source Institution: |
New College of Florida |
| Holding Location: |
New College of Florida |
| Rights Management: |
Applicable rights reserved. |
| Classification: |
local - S.T. 2013 C4 |
| System ID: |
NCFE004733:00001 |
|
Material Information |
| Title: |
Bach to the Future Using a Genetic Algorithm to Create Chorales in the Style of J.S. Bach |
| Physical Description: |
Book |
| Language: |
English |
| Creator: |
Cerni, Andrew |
| Publisher: |
New College of Florida |
| Place of Publication: |
Sarasota, Fla. |
| Creation Date: |
2013 |
| Publication Date: |
2013 |
Subjects |
| Subjects / Keywords: |
Genetic Algorithm
J.S. Bach
Chorale |
| Genre: |
bibliography ( marcgt )
theses ( marcgt )
government publication (state, provincial, terriorial, dependent) ( marcgt )
born-digital ( sobekcm )
Electronic Thesis or Dissertation |
Notes |
| Abstract: |
One of the goals of natural computing is to develop and use techniques inspired by nature to solve complex problems using a computer. Genetic algorithms represent one such technique. Inspired by the processes of natural selection and evolution, a genetic algorithm seeks to generate solutions to an optimization problem via a process which involves the production of many generations of populations whose individuals represent potential or approximate solutions to the given problem. In this thesis, we employ a genetic algorithm approach to the problem of generating four-part chorales in the traditional Western style. We perform a number of computational experiments and produce successive generations of chorales, and demonstrate that the average and maximum fitness of the candidate pool increases. Additionally, we perform another experiment where the genetic algorithm attempts to reconstruct a chorale composed by J.S. Bach, using distorted versions of the original chorale as a seed population. |
| Statement of Responsibility: |
by Andrew Cerni |
| Thesis: |
Thesis (B.A.) -- New College of Florida, 2013 |
| Supplements: |
Accompanying materials: DVD Containing Code. |
| Electronic Access: |
RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE |
| Bibliography: |
Includes bibliographical references. |
| Source of Description: |
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. |
| Local: |
Faculty Sponsor: McDonald, Patrick |
Record Information |
| Source Institution: |
New College of Florida |
| Holding Location: |
New College of Florida |
| Rights Management: |
Applicable rights reserved. |
| Classification: |
local - S.T. 2013 C4 |
| System ID: |
NCFE004733:00001 |
|